Certificate of Computational drug discovery techniques
This Certificate Course in Computational Drug Discovery is designed for students, researchers, and professionals seeking hands-on expertise in AI-driven drug discovery, molecular docking, and virtual screening. With a 70% hands-on learning approach, the course provides industry-relevant skills to enhance career opportunities in pharma, biotech, and computational research.
📢 Limited Seats Available! Secure your spot today!
Course Overview
Course Code: CD101C
Delivery Mode: Hybrid (Online + In-Person)
Project: No
Level: Beginner
Credits: 2 (30 hours)
Certification: Awarded upon completion
What You’ll Learn:
🧬 Module 1: Fundamentals of Computational Drug Discovery
✔ Introduction to the in silico drug discovery pipeline
✔ Basics of molecular docking, QSAR, and virtual screening
✔ Overview of AI/ML applications in drug discovery
💻 Module 2: Hands-On Molecular Modeling & Docking
✔ Structure-based drug design (SBDD) using AutoDock & PyRx
✔ Ligand & receptor preparation for docking
✔ Hands-on molecular docking simulations & analysis
🖥 Module 3: Virtual Screening & Lead Optimization
✔ Database screening for potential drug candidates
✔ ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) prediction
✔ Lead optimization strategies & structure-activity relationships (SAR)
🤖 Module 4: AI & Machine Learning for Drug Discovery
✔ Hands-on QSAR modeling using Python & RDKit
✔ Introduction to deep learning models for drug discovery
✔ Practical implementation of predictive models for hit identification
Why Choose This Course?
🎯 70% Hands-On Learning – Work with real-world drug discovery tools & datasets.
🎯 Industry-Relevant Skills – Master computational drug discovery techniques used in pharma, biotech, and AI-driven research.
🎯 Taught by Experts – Train with industry professionals & computational biologists.
🎯 Job-Readiness – Build essential skills for careers in pharma, bioinformatics, and computational research.
Who Should Enrol?
👉 Students & Graduates – Ideal for those in Biotechnology, Bioinformatics, Pharmacy, Chemistry, or Life Sciences.
👉 Industry Professionals – Perfect for pharma, CROs, and biotech professionals looking to upskill.
👉 Researchers & Data Scientists – Great for those interested in AI/ML applications in drug discovery.
📩 Have Questions? Write to us at contact@globalsouthvarsity.org
Instructor
"This course was a game-changer! I learned molecular docking, virtual screening, and AI-based drug design — all through hands-on projects. The instructors made complex topics like QSAR and ADMET predictions easy to understand. I now feel ready for roles in pharma R&D and bioinformatics."
